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ATAL
2007
Springer
15 years 10 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
CP
2005
Springer
15 years 9 months ago
Sub-optimality Approximations
Abstract. The sub-optimality approximation problem considers an optimization problem O, its optimal solution σ∗ , and a variable x with domain {d1, . . . , dm} and returns appro...
Russell Bent, Irit Katriel, Pascal Van Hentenryck
136
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AAIM
2008
Springer
138views Algorithms» more  AAIM 2008»
15 years 6 months ago
Confidently Cutting a Cake into Approximately Fair Pieces
We give a randomized protocol for the classic cake cutting problem that guarantees approximate proportional fairness, and with high probability uses a linear number of cuts.
Jeff Edmonds, Kirk Pruhs, Jaisingh Solanki
AAIM
2008
Springer
116views Algorithms» more  AAIM 2008»
15 years 10 months ago
An Improved Randomized Approximation Algorithm for Maximum Triangle Packing
This paper deals with the maximum triangle packing problem. For this problem, Hassin and Rubinstein gave a randomized polynomial-time approximation algorithm that achieves an expe...
Zhi-Zhong Chen, Ruka Tanahashi, Lusheng Wang
CCE
2010
15 years 1 months ago
A simple heuristic for reducing the number of scenarios in two-stage stochastic programming
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
Ramkumar Karuppiah, Mariano Martín, Ignacio...